Job Description

Job Description

Job Description

Due to the time-sensitive nature of this hiring action, consideration will ONLY be given to candidates who currently reside within the local commuting area or are in the process of relocating to the area.

OVERVIEW

JET Systems delivers data-driven insights that enhance mission readiness, operational efficiency, and informed decision-making across government and commercial programs. Our analytics team designs and implements scalable data models, dashboards, and automation frameworks that provide leadership with real-time, actionable intelligence.

The Data Analyst I is an early-career professional responsible for supporting data preparation, analysis, and visualization tasks using Tableau as the primary business-intelligence platform. This position requires a solid foundation in Tableau and data analytics concepts, as well as hands-on experience in building dashboards, performing data validation, and supporting automation workflows under the mentorship of senior analysts.

This is a full-time, on-site position located in California, Maryland, supporting a government customer. Standard working hours are Monday through Friday, 9:00 a.m. – 5:00 p.m. Eastern Time. Compensation ranges from $75,000 – $105,000 per year, commensurate with experience. JET Systems provides a competitive benefits package including health, dental, and vision insurance; life insurance; paid time off; and a Simple IRA.

RESPONSIBILITIES

• Support the design, development, and maintenance of Tableau dashboards and reports that communicate key metrics and operational trends.
• Prepare, clean, and transform data using Tableau Prep, Excel, or similar tools to ensure accuracy and consistency.
• Write and optimize SQL queries to extract and merge data from multiple sources.
• Perform exploratory data analysis (EDA) to identify insights, patterns, and data quality issues.
• Collaborate with senior analysts and stakeholders to define analytical requirements and translate them into visualized outputs.
• Support testing, validation, and publication of Tableau dashboards on Tableau Server.
• Assist in automating recurring reporting tasks using Python, Power Automate, or other scripting tools.
• Contribute to continuous improvement of analytical processes within the Data Analysis Life Cycle (DALC) framework.

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in Data Analytics, Data Science, Information Systems, Statistics, Business Analytics, or a related discipline.
• 2 years of professional experience in data analytics or business intelligence roles.
• Working knowledge of Tableau for developing dashboards and analytical visualizations.
• Practical experience preparing and transforming data using Tableau Prep or equivalent tools.
• Proficiency with SQL for querying and joining data across relational databases.
• Demonstrated ability to interpret data, identify trends, and present findings clearly.
• Strong organizational skills, attention to detail, and ability to manage multiple priorities.
• Must be able to work on-site in California, Maryland, supporting a government customer.
• Must be a U.S. Citizen and able to pass a background check.

PREFERRED QUALIFICATIONS:

• Familiarity with Navy aircraft maintenance and supply chain data utilization, including readiness, inventory, or logistics systems.
• Coursework or certification in Tableau, Power BI, or data visualization.
• Exposure to Python or R for data analysis or process automation.
• Experience supporting Department of Defense (DoD) or aerospace data environments.
• Understanding of data quality, data governance, or ISO 8000/9001 principles.
• Interest in advancing skills in predictive analytics and data automation frameworks.

SECURITY CLEARANCE REQUIREMENT:

• Must be able to obtain and maintain a DoD Secret clearance.
• Active Secret clearance is highly preferred.
• Candidate must be a U.S. Citizen with the ability to meet eligibility requirements for access to classified information as determined by the U.S. Government.

DESIRED CHARACTERISTICS:

• Proactive and eager to grow analytical skills through mentorship and hands-on learning.
• Strong analytical reasoning and problem-solving ability.
• Effective communicator with both technical and non-technical audiences.
• Team-oriented, organized, and dependable in meeting project deadlines.
• Demonstrates initiative, adaptability, and commitment to quality and continuous improvement.

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